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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Study on Cache Decision Policies to Enhance QoE with Existence of Multiple Video and Audio Streams in ICN/CCN
Keisuke Kobayashi, Toshiro Nunome (Nagoya Inst. of Tech) CQ2022-85
This paper considers video and audio transmission in ICN (Information-Centric Networking) / CCN (Content-Centric Network... [more] CQ2022-85
ET 2023-03-14
Tokushima Tokushima University
(Primary: On-site, Secondary: Online)
Intuitive Action Decision Support System Based on Game-tree Construction in Sports
Yuji Otori, Tomoko Kojiri (Kansai Univ.) ET2022-66
To gain an advantage in a competitive individual sport, it is necessary to choose the most advantageous action among all... [more] ET2022-66
LOIS 2023-03-13
(Primary: On-site, Secondary: Online)
Estimation method of difficulty of cases and proficiency of persons in charge of cases using amount of work until completion of each case
Akinori Miyamoto, Susumu Ogata, Akira Karasudani (Fujitsu) LOIS2022-45
The automation of business using information technology is being developed. However, in business that cannot be fully au... [more] LOIS2022-45
LOIS 2023-03-13
(Primary: On-site, Secondary: Online)
Lifelog Data Analyses of SNS Users Based on Supervised Learning to Forecast the Number of Bookmarks of A Post
Komei Arasawa, Shun Matsukawa, Nobuyuki Sugio, Naofumi Wada, Hiroki Matsuzaki (Hokkaido Univ. of Sci.) LOIS2022-56
It is an important issue to establish how to produce and transmit a post that triggers people's interest, in marketing a... [more] LOIS2022-56
HWS, VLD 2023-03-02
(Primary: On-site, Secondary: Online)
Communication-Efficient Federated Learning with Gradient Boosting Decision Trees
Kotaro Shimamura, Shinya Takamaeda (UTokyo) VLD2022-99 HWS2022-70
Federated learning (FL) is a machine learning method in which clients learn cooperatively without disclosing private dat... [more] VLD2022-99 HWS2022-70
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
A Study on Cache Decision Policies to Enhance QoE of Video and Audio Transmission in ICN/CCN
Keisuke Kobayashi, Toshiro Nunome (Nagoya Inst. of Tech) CQ2022-63
This paper considers video and audio transmission in ICN (Information-Centric Networking) / CCN (Content-Centric Network... [more] CQ2022-63
ICTSSL, CAS 2023-01-26
Tokyo TBD
(Primary: On-site, Secondary: Online)
A Packet Classification Method Fusing HyperCuts and Run-Based Tries
Taiga Kobayashi, Kenji Mikawa (Maebashi Institute of Tech.) CAS2022-74 ICTSSL2022-38
In packet classification, filtering algorithms are required to have both fast filtering processing ability and flexible ... [more] CAS2022-74 ICTSSL2022-38
IBISML 2022-09-15
Kanagawa Keio Univ. (Yagami Campus)
(Primary: On-site, Secondary: Online)
Interpretable Model Combining Decision Rules and DNN
Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] IBISML2022-36
IT 2022-07-22
Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model
Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27
Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] IT2022-27
IT 2022-07-22
Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)
Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model
Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28
Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] IT2022-28
KBSE, SWIM 2022-05-20
(Primary: On-site, Secondary: Online)
Generating LTL formulas with Trace Examples
Kota Komatsu, Hiroki Horita (Ibaraki Univ.) KBSE2022-1 SWIM2022-1
In declarative process mining, a user can verify a desired property in a business process by providing an LTL formula wi... [more] KBSE2022-1 SWIM2022-1
IT, ISEC, RCC, WBS 2022-03-11
Online Online An Efficient Method for Constructing Garbled Circuits Using Linked Lists
Guangjian Liu, Hikaru Morita (Graduate School of Kanagawa Univ) IT2021-131 ISEC2021-96 WBS2021-99 RCC2021-106
Since the proposal of the Garbled Circuit by Yao, a number of construction methods for secret circuits have been propose... [more] IT2021-131 ISEC2021-96 WBS2021-99 RCC2021-106
SeMI 2022-01-21
(Primary: On-site, Secondary: Online)
[Short Paper] Asynchronous Gradient-Boosted Decision Trees for Distributed Sensing Devices
Yui Yamashita, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-64
Recently, wearable devices that install multiple sensors have been widely used. Although sensor data from these devices ... [more] SeMI2021-64
SIP, IT, RCS 2021-01-22
Online Online Selection of Interference Cancellation Technique Using Decision Trees for Uplink Non-orthogonal Multiple Access -- Evaluation of Communication Success Rate in A Mobile Environment --
Noriaki Yamamoto (Meiji Univ.), Masafumi Moriyama, Kenichi Takizawa (NICT), Tetsushi Ikegami (Meiji Univ.) IT2020-85 SIP2020-63 RCS2020-176
As IoT(Internet of Things)develops, wireless access techniques that can effectively accommodate massive number of device... [more] IT2020-85 SIP2020-63 RCS2020-176
ITS, IEE-ITS 2020-03-10
Shiga Ritsumeikan Univ. (BKC)
(Cancelled but technical report was issued)
A study on autonomous driving on general roads by predicting the route of other vehicles based on lane information
Yohei Ogawa, Yasushi Tauchi, Yoshiki Mizukami (Yamaguchi Univ) ITS2019-70
In this study, we aim to realize automatic driving on general roads with complicated surrounding conditions, and develop... [more] ITS2019-70
HWS, VLD [detail] 2020-03-06
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
A Consideration on Efficient Anomaly Detection Based on Isolation Forest
Tsubasa Ikeda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (HCU) VLD2019-125 HWS2019-98
Isolation Forest is a method to detect anomalies by ensemble learning of binary decision trees. It traverses each decisi... [more] VLD2019-125 HWS2019-98
AI 2020-02-14
Shimane Izumo Campus, Shimane University Utilizing Job Stress Questionnaire data by Data Analysis Method
Keiya Okada, Keisuke Onishi, Masahiro Akimoto (KKE.Inc) AI2019-46
We made it clear that utilizing Job Stress Questionnaire data by Data Analysis Method is effective to grasp the structur... [more] AI2019-46
R 2019-11-28
Osaka Central Electric Club A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models
Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-43
This paper discusses an approximation method for uncertainty propagation in a hierarchical model. The uncertainty propag... [more] R2019-43
Hyogo Rokkodai 2nd Campus, Kobe Univ. Experiment of DDoS Attack Detection with UTM Log Analysis Using Decision Tree
Aoshi Fujioka, Hiroyuki Okazaki, Hikofumi Suzuki (Shinshu Univ.) NS2019-123
In recent years, AI technology such as machine learning has been developed and the number of application examples are in... [more] NS2019-123
NS 2019-10-10
Aichi Nagoya Institute of Technology [Invited Talk] On recent developments in network reliability computation using binary decision diagrams
Jun Kawahara (Kyoto Univ.) NS2019-113
Given a network with static link failure probabilities, the network reliability is to compute the probability that two s... [more] NS2019-113
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